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Paper Citation Record · LEDGER

Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2401.07324.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2401.07324 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:04:24.056694Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T19:50:11.237517Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fe7a4a87-a7d8-4d75-a1d4-87035f0cf37f · inbound

Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement cites this paper.

Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:03:26.393786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T21:02:03.017690Z digest=sha256:8e0b5cada1e7df35c11c7defc47bccf29d3413bcff9052dcd118c456db664604

Observation 4d980065-11e5-4eeb-a5f4-6007c677edae · inbound

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning cites this paper.

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:48:20.475285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-23T18:46:08.566035Z digest=sha256:466513d43d8dd714652efdf4c406c856fdafa22318bb42ec4bd26413abcd838f

Observation c44bc51a-5ec1-4ac3-b189-e7dc0b7bb62c · inbound

Implicit Communication of Contextual Information in Human-Robot Collaboration cites this paper.

Implicit Communication of Contextual Information in Human-Robot Collaboration Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T18:04:24.056694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:04:24.056694Z digest=sha256:b6ff6b606270fe2766981e01841c9070e5e606eb0f5103b2149ff68efa1dae7b

Observation 62039000-4822-435f-96de-f79c952d4ba9 · inbound

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy cites this paper.

Empowering LLMs in Task-Oriented Dialogues: A Domain-Independent Multi-Agent Framework and Fine-Tuning Strategy Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T15:41:10.538117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:41:10.538117Z digest=sha256:15fb125323a942b29d878e2bc6501a8166bedd9ac55333f60665f14916aef9aa

Observation 41021a20-68a5-4910-9b7c-a6b8cefbb596 · inbound

NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration cites this paper.

NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:13:01.846888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T08:12:10.542542Z digest=sha256:55c421ffcb1651de36e3070a10b1f37fd23799bdcfd176ae1996dd2878ecd33d

Observation a7bb54b3-b6e8-4426-8ebc-f2c4ff896f5a · inbound

FaSTA$^*$: Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing cites this paper.

FaSTA$^*$: Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:17:10.766472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T08:17:08.223736Z digest=sha256:4f541a6566f5d7ce4143e7cada45045d4c7387b1a00620849c1e427740784411

Observation 775fd877-4b46-4eff-a811-5c5853b4de16 · inbound

GIST: Multimodal Knowledge Extraction and Spatial Grounding via Intelligent Semantic Topology cites this paper.

GIST: Multimodal Knowledge Extraction and Spatial Grounding via Intelligent Semantic Topology Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:00:04.557881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T10:29:36.205471Z digest=sha256:217834bfae4b8f279541fc1d3f4fd70b6efe5e90ecd7e90dc74b68820b0869d1

Observation 798b8805-8baf-4fcf-8eab-e256fe5efa52 · inbound

Bridging Perception and Action: A Lightweight Multimodal Meta-Planner Framework for Robust Earth Observation Agents cites this paper.

Bridging Perception and Action: A Lightweight Multimodal Meta-Planner Framework for Robust Earth Observation Agents Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 93

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:31:12.211329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T15:45:27.700503Z digest=sha256:92f359a257b2253f38c61d1eaa8a172396653c658f50f579fc178d86724a2650

Observation 34dcbb5c-7f99-4049-a8b6-f87893bbbfe7 · inbound

ERFSL: An Efficient Reward Function Searcher via Language Models for Custom-Environment Multi-Objective Optimization (Student Abstract) cites this paper.

ERFSL: An Efficient Reward Function Searcher via Language Models for Custom-Environment Multi-Objective Optimization (Student Abstract) Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T05:08:05.290847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T05:03:28.824500Z digest=sha256:14d7a95e861c17951ae8b71cbcde7c8acfe4514909ff0c86d3603f9c2d3d1a93

Observation 6016dd8e-32e2-432c-aa3b-a81d72933458 · inbound

Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints cites this paper.

Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:50:11.239132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-25T20:58:26.602409Z digest=sha256:0b111f4a68df0a52e9972dbc0561dda0b85a3c7a5e74648089b75ebadc6dd84f